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Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards

Improved accuracy of evapotranspiration (ET) estimation, including its partitioning between transpiration (T) and surface evaporation (E), is key to monitor agricultural water use in vineyards, especially to enhance water use efficiency in semi-arid regions such as California, USA. Remote-sensing me...

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Autores principales: Burchard-Levine, Vicente, Nieto, Héctor, Kustas, William P., Gao, Feng, Alfieri, Joseph G., Prueger, John H., Hipps, Lawrence E., Bambach-Ortiz, Nicolas, McElrone, Andrew J., Castro, Sebastian J., Alsina, Maria Mar, McKee, Lynn G., Zahn, Einara, Bou-Zeid, Elie, Dokoozlian, Nick
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509310/
https://www.ncbi.nlm.nih.gov/pubmed/36172254
http://dx.doi.org/10.1007/s00271-022-00787-x
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author Burchard-Levine, Vicente
Nieto, Héctor
Kustas, William P.
Gao, Feng
Alfieri, Joseph G.
Prueger, John H.
Hipps, Lawrence E.
Bambach-Ortiz, Nicolas
McElrone, Andrew J.
Castro, Sebastian J.
Alsina, Maria Mar
McKee, Lynn G.
Zahn, Einara
Bou-Zeid, Elie
Dokoozlian, Nick
author_facet Burchard-Levine, Vicente
Nieto, Héctor
Kustas, William P.
Gao, Feng
Alfieri, Joseph G.
Prueger, John H.
Hipps, Lawrence E.
Bambach-Ortiz, Nicolas
McElrone, Andrew J.
Castro, Sebastian J.
Alsina, Maria Mar
McKee, Lynn G.
Zahn, Einara
Bou-Zeid, Elie
Dokoozlian, Nick
author_sort Burchard-Levine, Vicente
collection PubMed
description Improved accuracy of evapotranspiration (ET) estimation, including its partitioning between transpiration (T) and surface evaporation (E), is key to monitor agricultural water use in vineyards, especially to enhance water use efficiency in semi-arid regions such as California, USA. Remote-sensing methods have shown great utility in retrieving ET from surface energy balance models based on thermal infrared data. Notably, the two-source energy balance (TSEB) has been widely and robustly applied in numerous landscapes, including vineyards. However, vineyards add an additional complexity where the landscape is essentially made up of two distinct zones: the grapevine and the interrow, which is often seasonally covered by an herbaceous cover crop. Therefore, it becomes more complex to disentangle the various contributions of the different vegetation elements to total ET, especially through TSEB, which assumes a single vegetation source over a soil layer. As such, a remote-sensing-based three-source energy balance (3SEB) model, which essentially adds a vegetation source to TSEB, was applied in an experimental vineyard located in California’s Central Valley to investigate whether it improves the depiction of the grapevine-interrow system. The model was applied in four different blocks in 2019 and 2020, where each block had an eddy-covariance (EC) tower collecting continuous flux, radiometric, and meteorological measurements. 3SEB’s latent and sensible heat flux retrievals were accurate with an overall RMSD ~ 50 W/m(2) compared to EC measurements. 3SEB improved upon TSEB simulations, with the largest differences being concentrated in the spring season, when there is greater mixing between grapevine foliage and the cover crop. Additionally, 3SEB’s modeled ET partitioning (T/ET) compared well against an EC T/ET retrieval method, being only slightly underestimated. Overall, these promising results indicate 3SEB can be of great utility to vineyard irrigation management, especially to improve T/ET estimations and to quantify the contribution of the cover crop to ET. Improved knowledge of T/ET can enhance grapevine water stress detection to support irrigation and water resource management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00271-022-00787-x.
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spelling pubmed-95093102022-09-26 Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards Burchard-Levine, Vicente Nieto, Héctor Kustas, William P. Gao, Feng Alfieri, Joseph G. Prueger, John H. Hipps, Lawrence E. Bambach-Ortiz, Nicolas McElrone, Andrew J. Castro, Sebastian J. Alsina, Maria Mar McKee, Lynn G. Zahn, Einara Bou-Zeid, Elie Dokoozlian, Nick Irrig Sci Original Paper Improved accuracy of evapotranspiration (ET) estimation, including its partitioning between transpiration (T) and surface evaporation (E), is key to monitor agricultural water use in vineyards, especially to enhance water use efficiency in semi-arid regions such as California, USA. Remote-sensing methods have shown great utility in retrieving ET from surface energy balance models based on thermal infrared data. Notably, the two-source energy balance (TSEB) has been widely and robustly applied in numerous landscapes, including vineyards. However, vineyards add an additional complexity where the landscape is essentially made up of two distinct zones: the grapevine and the interrow, which is often seasonally covered by an herbaceous cover crop. Therefore, it becomes more complex to disentangle the various contributions of the different vegetation elements to total ET, especially through TSEB, which assumes a single vegetation source over a soil layer. As such, a remote-sensing-based three-source energy balance (3SEB) model, which essentially adds a vegetation source to TSEB, was applied in an experimental vineyard located in California’s Central Valley to investigate whether it improves the depiction of the grapevine-interrow system. The model was applied in four different blocks in 2019 and 2020, where each block had an eddy-covariance (EC) tower collecting continuous flux, radiometric, and meteorological measurements. 3SEB’s latent and sensible heat flux retrievals were accurate with an overall RMSD ~ 50 W/m(2) compared to EC measurements. 3SEB improved upon TSEB simulations, with the largest differences being concentrated in the spring season, when there is greater mixing between grapevine foliage and the cover crop. Additionally, 3SEB’s modeled ET partitioning (T/ET) compared well against an EC T/ET retrieval method, being only slightly underestimated. Overall, these promising results indicate 3SEB can be of great utility to vineyard irrigation management, especially to improve T/ET estimations and to quantify the contribution of the cover crop to ET. Improved knowledge of T/ET can enhance grapevine water stress detection to support irrigation and water resource management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s00271-022-00787-x. Springer Berlin Heidelberg 2022-04-05 2022 /pmc/articles/PMC9509310/ /pubmed/36172254 http://dx.doi.org/10.1007/s00271-022-00787-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Burchard-Levine, Vicente
Nieto, Héctor
Kustas, William P.
Gao, Feng
Alfieri, Joseph G.
Prueger, John H.
Hipps, Lawrence E.
Bambach-Ortiz, Nicolas
McElrone, Andrew J.
Castro, Sebastian J.
Alsina, Maria Mar
McKee, Lynn G.
Zahn, Einara
Bou-Zeid, Elie
Dokoozlian, Nick
Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
title Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
title_full Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
title_fullStr Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
title_full_unstemmed Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
title_short Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
title_sort application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9509310/
https://www.ncbi.nlm.nih.gov/pubmed/36172254
http://dx.doi.org/10.1007/s00271-022-00787-x
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